텍스트마이닝을 이용한 특허정보검색 = A study on development of paten information retrieval using a textmining

다국어 초록 (Multilingual Abstract)

The patent information retrieval system can serve a variety of purposes. In general, the patent information is retrieved using limited key words. To identify earlier technology and priority rights repeated effort is needed. This study proposes a method of content-based retrieval using text mining. Using the proposed algorithm, each of the documents is invested with characteristic value. The characteristic values are used to compare similarities between query documents and database documents. Text analysis is composed of 3 steps: stop-word, keyword analysis and weighted value calculation. In the test results, the general retrieval and the proposed algorithm were compared by using accuracy measurements. As the study arranges the result documents as similarities of the query documents, the surfer can improve the efficiency by reviewing the similar documents first. Also because of being able to input the full-text of patent documents, the users unacquainted with surfing can use it easily and quickly. It can reduce the amount of displayed missing data through the use of content based retrieval instead of keyword based retrieval for extending the scope of the search.

목차 (Table of Contents)

• 목 차
• 제 1 장 서론 1
• 1.1 연구의 배경 및 목적 1
• 1.2 논문의 구성 4
• 제 2 장 관련연구 5
• 2.1 특허정보에 관한 연구 5
• 2.2 분석 알고리즘 8
• 2.2.1 TF-IDF 8
• 2.2.2 Stop-word 9
• 제 3 장 특허문서의 일반 검색 방법 10
• 3.1 Screening 10
• 3.2 Step Method 11
• 제 4 장 제안된 방법 14
• 4.1 특징치 선정 14
• 4.1.1 텍스트 분석 14
• 4.1.2 핵심단어 출현률 산출 18
• 4.1.3 문서별 핵심단어 가중치 및 특징치 산출 18
• 4.2 문서별 유사도 20
• 제 5 장 실험 및 결과 22
• 5.1 실험 데이터 22
• 5.1.1 반도체 웨이퍼 22
• 5.1.2 터치 30
• 5.2 실험 결과 비교 35
• 제 6 장 결론 및 향후 과제 36
• 6.1 결론 36
• 6.2 향후 과제 37
• 참고 문헌 38